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mathtools.py
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mathtools.py
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"""
This file just contains a useful function I made for downscaling data
Copyright 2020 OskarCodes
This file is part of Systolic
Systolic is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Systolic is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with Systolic. If not, see <https://www.gnu.org/licenses/>.
"""
import numpy as np
import matplotlib.pyplot as plt
def mean_downscaler(data, n):
n = int(n)
mod = len(data) % n
# Resize array to allow for division with requested downscale factor
data = np.resize(data, (data.size+(n-mod)))
if mod != 0:
for _ in np.arange(mod):
# This is probably not needed at all, but adds "None"s to empty spots
np.append(data, None)
# Constructs arrays
meanArr = []
finalArr = []
for i in data:
# Add value to temp array
meanArr.append(i)
if len(meanArr) == n:
# Once temp array is of desired length, calculate mean and add to final
finalArr.append(np.mean(meanArr))
# Reset temporary array
meanArr = []
else:
continue
# Return final array
return finalArr